EPISODE · Jun 11, 2026 · 8 MIN
EP240: The Orchard Framework
from Learning GenAI via SOTA Papers - Video · host Yun Wu
Title: Orchard: An Open-Source Agentic Modeling FrameworkSource: http://arxiv.org/abs/2605.15040v1Summary:Orchard provides a scalable open-source framework for agentic modeling, introducing reusable environment primitives and training recipes that enable LLMs to achieve state-of-the-art performance on complex tasks. It addresses critical gaps in agent infrastructure by standardizing sandbox management and introducing credit-assignment SFT for learning from unresolved trajectories.
What this episode covers
Title: Orchard: An Open-Source Agentic Modeling FrameworkSource: http://arxiv.org/abs/2605.15040v1Summary:Orchard provides a scalable open-source framework for agentic modeling, introducing reusable environment primitives and training recipes that enable LLMs to achieve state-of-the-art performance on complex tasks. It addresses critical gaps in agent infrastructure by standardizing sandbox management and introducing credit-assignment SFT for learning from unresolved trajectories.
NOW PLAYING
EP240: The Orchard Framework
No transcript for this episode yet
Similar Episodes
Apr 21, 2026 ·13m
Apr 19, 2026 ·16m
Apr 17, 2026 ·13m
Apr 13, 2026 ·11m
Apr 11, 2026 ·16m